Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Jose A Varela"'
Autor:
Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva-Trujillo, Juan C. Cuevas-Tello, Jose Nunez-Varela
Publikováno v:
Computers, Vol 13, Iss 3, p 59 (2024)
Recent advancements in cybersecurity threats and malware have brought into question the safety of modern software and computer systems. As a direct result of this, artificial intelligence-based solutions have been on the rise. The goal of this paper
Externí odkaz:
https://doaj.org/article/42323baf1eb24e049fa40b9536241406
Autor:
Patricia Lastra Luque, Iraide Artetxe-Arrate, Gorka Bidegain, Saburo Sakai, Fanny Claverie, Christophe Pécheyran, Igaratza Fraile, Hilario Murua, Jose Luis Varela, Antonio Medina, Haritz Arrizabalaga
Publikováno v:
Heliyon, Vol 8, Iss 11, Pp e11757- (2022)
Chemical fingerprints in otoliths are commonly used as natural habitat markers in fishes. Alternatively, the first dorsal fin spine can provide valuable chemical information and may be more suitable for studying (i) endangered fish species that canno
Externí odkaz:
https://doaj.org/article/8812b18dc32e49e1a969861e09ab12e0
Autor:
Jesus Gerardo Torres-Vega, Juan C. Cuevas-Tello, Cesar Puente, Jose Nunez-Varela, Carlos Soubervielle-Montalvo
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e30eec88272f11353e8e76c0ba261ea
https://doi.org/10.1007/978-981-19-7660-5_22
https://doi.org/10.1007/978-981-19-7660-5_22
Autor:
Jose Suarez-Varela, Paul Almasan, Miquel Ferriol-Galmes, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially represented as graphs (e.g., chemistry, biology, recommendation systems). In this vein, communication networks comprise many fundamental components th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8020161471f0606b5f087c0899d7750
https://hdl.handle.net/2117/385051
https://hdl.handle.net/2117/385051
Autor:
Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger, Jose Suarez-Varela
Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.
Autor:
Ángela Iglesias López, Alberto Bouzón Alejandro, Laura Abelairas López, Joaquin José Mosquera Osés, Jose Ramón Varela Romero, Andrés Vega Chaves
Publikováno v:
Revista de Senología y Patología Mamaria. 36:100415
Autor:
Krzysztof Rusek, Paul Almasan, Jose Suarez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Emerging applications such as the metaverse, telesurgery or cloud computing require increasingly complex operational demands on networks (e.g., ultra-reliable low latency). Likewise, the ever-faster traffic dynamics will demand network control mechan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c914324ca90832bf6b6b5d19bde94f77
https://hdl.handle.net/2117/385057
https://hdl.handle.net/2117/385057
Autor:
Miquel Ferriol-Galmes, Krzysztof Rusek, Jose Suarez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
Network modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the packet arrival process, which ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a455df510347938b85574aedba0ff7
https://hdl.handle.net/2117/374056
https://hdl.handle.net/2117/374056
Autor:
Natalia Díaz-Arce, Igaratza Fraile, Noureddine Abid, Piero Addis, Simeon Deguara, Fambaye N. Sow, Alex Hanke, Firdes Saadet Karakulak, Pedro G. Lino, David Macias, Leif Nøttestad, Isik K. Oray, Enrique Rodriguez-Marin, Yohei Tsukahara, Jose Luis Varela, Haritz Arrizabalaga, Naiara Rodriguez-Ezpeleta
Publikováno v:
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
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Effective fisheries management requires accurate stock identification, which can be challenging in mixed stock fisheries such as the Atlantic bluefin tuna (Thunnus thynnus). This species is currently managed considering two stocks known to spawn in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c104a0ab6e0591fc6ffbaef9223bb4
https://doi.org/10.3390/blsf2022013030
https://doi.org/10.3390/blsf2022013030
Autor:
Jose I, Varela, Nathan D, Miller, Valentina, Infante, Shawn M, Kaeppler, Natalia, de Leon, Edgar P, Spalding
Publikováno v:
Food Chemistry. 391:133264
Large-scale investigations of maize kernel traits important to researchers, breeders, and processors require high throughput methods, which are presently lacking. To address this bottleneck, we developed a novel flatbed platform that automatically ac